Analysis

Score text difficulty and quality by category using length, term density and regex metrics

Convert large Excel files to Parquet for fast filtering, aggregation and export

Calculate percentages and means from large Excel files into a report with charts

Compute conditional means and deduplicated sums across Excel sheets and row ranges

Compare coefficients across Excel sheets and color-flag outliers in large files

Filter Excel rows by multi-column numeric conditions and export results at scale

Turn Excel data into a analysis report with charts and a download link

Extract target columns and Chinese text from multi-sheet Excel into a standard workbook

Run cross-sheet statistics and summary reports on Excel files with volume-based processing

Count rows across Excel sheets, dedupe a dimension and build summary and detail reports

Find out-of-range values and error cells in Excel and highlight them

Filter multi-sheet Excel data by condition, rename fields and export a new workbook

Clean multi-sheet Excel files, cross-check sheets and build visual analysis

Run multi-dimensional statistics and charts on large Excel datasets

Filter Excel numeric columns by threshold and style matching cells with openpyxl

Filter multi-sheet Excel records by condition and export matching rows highlighted red

Group and aggregate multi-sheet Excel data into styled summary tables and charts

Merge multi-sheet Excel data, forward fill gaps and count rows per group

Clean large Excel text columns with regex rules, such as keeping only Chinese characters

Format large multi-sheet Excel analyses with conditional highlights and openpyxl styling

Build Excel reports with time-series averages and conditional formatting for large files

Extract KPIs from large spreadsheets, validate units and rank results in a table

Analyze Excel files over 10k rows via Parquet and highlight key rows in the output

Analyze multi-sheet Excel files with Parquet conversion, category stats and charts

Read multi-sheet Excel, clean with regex, fit trends and export formatted charts

Extract numbers from unit-labeled text and chart distributions with histograms and CDFs

Normalize numeric formats in Excel data and check totals before exporting results

Detect outliers with the IQR method and assess data quality with skewness and kurtosis

Extract cell ranges from multi-sheet Excel files and analyze large workbooks with charts

Read a single Excel sheet with merged cells, clean it and chart key metrics and trends

Orchestrate Excel data analysis from loading and cleaning to aggregation and export

Analyze Excel datasets over 10k rows with streaming reads, Parquet and chunked processing

Analyze numeric distributions and outliers with boxplots and histograms

Normalize text columns in large Excel files and export a cleaned workbook

Analyze time series and categories for trends, grades and forecasts with visual reports

Merge multi-table Excel data and highlight key metrics with openpyxl styling

Forecast graded performance trends with set growth rates and comparison charts

Analyze experiment results with significance tests, ablations and scientific figures

Profile scientific data files across 200 formats and write structured EDA reports

Analyze and visualize networks with centrality, communities and shortest paths

Choose statistical tests, check assumptions and write APA-style results

Fit OLS, GLM and time series models with detailed diagnostics in statsmodels

View, filter, convert and merge CSV tables from the command line

View, filter and convert tab-separated files from the command line

Score a CSV or Excel dataset for missing values, duplicates and outliers

Cluster log errors by pattern and find the peak periods behind them

Fit OLS or logistic regression on CSV data with p-values and multicollinearity checks

Design and calibrate a low-variance metric with noise bands before optimizing anything

Estimate parameter posteriors with emcee and PyMC, including convergence checks